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Research on Strong-association Rule Based Web Application Vulnerability Detection

I. INTRODUCTION

II. OVERVIEW OF HITS ALGORITHM

III. ASSOCIATION RULE EXTRACTION INWEB

      APPLICATION

A. Association Rule

B. Apriori algorithm

C. Improved Apriori algorithm APL

D. Strong association in Web Application Vulnerability

    Detection

IV. THE RESULT OF THE RESEARCH

V. CONCLUSION AND FURTHER WORK


 I. INTRODUCTION- 

                                  With the continuous development of web technology, there’s more and more web site in the internet that have different types and subjects. The attack of the site reports also a common occurrence. The web security became more and more crucial. The current system for web security issues there are two solutions. One of them is detect and control of data in the network to prevent malicious attacks. This technology is known as Intrusion Detection. Firewall is one of the products using intrusion detection technology. Another is to detect the system itself, so that prevent the hacker’s attack. The more perfect the web system is, the more difficult the intruders find the vulnerabilities. The first type of protective measures can easily be broken. So if we want to protect the web system security, we should improve the system itself. This paper discusses the way to improve the security of the web system in this point. The solution for improve the security of the system is scanning and vulnerability-based detection. Using this method, the vulnerabilities which have been found can be more effective detected, but for unknown vulnerabilities is weak. Besides, this way is mainly to find the vulnerabilities in the computer system, not for the web application.

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